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SSQ Prediction

作者 Rix Zhang · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ssq-prediction
功能描述
AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sen...
安全使用建议
This skill is coherent: it fetches public historical lottery data, asks the agent (LLM) to simulate a model, and optionally posts the formatted report to a Feishu group via the openclaw CLI. Before installing, confirm: (1) the OpenClaw platform already has Feishu configured and you are comfortable with the skill posting to the specified group (only set FEISHU_SSQ_GROUP_ID if you want automatic posting), (2) your environment allows outbound HTTP requests to the datachart.500.com endpoint, and (3) you understand the prediction is speculative — the SKILL.md is a prompt-driven model description rather than audited code, so there is no guarantee of scientific validity. Because the skill is instruction-only and asks for no secrets, the security risk is low; if you need stronger assurance, request the author provide an auditable implementation or explicit details of the numerical algorithm used.
能力评估
Purpose & Capability
Name/description (SSQ prediction) align with what the skill asks for: fetching public SSQ history, running a model (described in prose), and optionally sending results to Feishu via the openclaw CLI. The only external requirement is the openclaw binary for message delivery, which matches the delivery capability.
Instruction Scope
SKILL.md instructs the agent to fetch historical data from a public endpoint (datachart.500.com), run an internal CQ-BN simulation described in prompt form, format a report, and optionally call openclaw to send a Feishu message. The instructions do not ask the agent to read unrelated local files, harvest environment secrets, or post data to unexpected external endpoints. The model/computation is described as an LLM role-play (quantum physicist) rather than invoking external code; this is consistent with an instruction-only skill.
Install Mechanism
No install spec or downloadable code is present (instruction-only). This minimizes installation risk — nothing is written to disk by the skill itself.
Credentials
No credentials or sensitive environment variables are required. The SKILL.md documents a single optional variable (FEISHU_SSQ_GROUP_ID) used only to select the Feishu target; that is proportional to the delivery feature. No unrelated secrets or config paths are requested.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges or modify other skills. It relies on platform-level Feishu auth handled by OpenClaw and will only send messages when run (or if the optional FEISHU_SSQ_GROUP_ID is set).
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ssq-prediction
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ssq-prediction 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
Remove hardcoded private group ID; declare openclaw binary dependency and FEISHU_SSQ_GROUP_ID env var in metadata; clarify Feishu auth relies on OpenClaw platform config
v1.0.1
Version 1.0.1 Changelog - Added configuration support for delivery target: report can be sent to a Feishu group (via `FEISHU_SSQ_GROUP_ID` environment variable or user input) or output in chat if not set. - Updated workflow documentation to clarify delivery options and output formatting. - Improved instructions for dynamically fetching the latest 200 periods of historical SSQ data. - Enhanced output report structure for clarity and user guidance.
v1.0.0
- Initial release of the Double Color Ball (中国福彩双色球) prediction skill. - Fetches recent historical lottery data automatically. - Applies a Contextual Quantum-like Bayesian Network (CQ-BN) model for number prediction. - Generates and formats a Top 10 recommendation list with detailed model execution notes and risk disclaimers. - Automatically sends predictions to a specified Feishu group for user notifications. 双色球预测功能首次发布。 自动获取近期彩票历史数据。 采用上下文类量子贝叶斯网络(CQ-BN)模型进行号码预测。 生成并格式化前 10 条推荐号码列表,附带详细的模型执行说明与风险提示。 自动将预测结果发送至指定飞书群组,用于用户通知。
元数据
Slug ssq-prediction
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

SSQ Prediction 是什么?

AI Investment Research - Double Color Ball (双色球) Prediction. Fetches historical data, applies Contextual Quantum-like Bayesian Network (CQ-BN) model, and sen... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 179 次。

如何安装 SSQ Prediction?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ssq-prediction」即可一键安装,无需额外配置。

SSQ Prediction 是免费的吗?

是的,SSQ Prediction 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

SSQ Prediction 支持哪些平台?

SSQ Prediction 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 SSQ Prediction?

由 Rix Zhang(@rix-zhang)开发并维护,当前版本 v1.1.0。

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